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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2024 Volume 64, Number 2, Pages 337–349 (Mi zvmmf11708)

Mathematical physics

New computer efficient approximations of random functions for solving stochastic transport problems

G. A. Mikhailovab, I. N. Medvedevab

a Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, 630090, Novosibirsk, Russia
b Novosibirsk State University, 630090, Novosibirsk, Russia

Abstract: A new grid approximation of a homogeneous isotropic random field with a given average correlation length is developed. The approximation is constructed by partitioning the coordinate space into an ensemble of cubes whose size reproduces the average correlation length in the case of a field value chosen independently from a given one-dimensional distribution in each partition element. The correlative randomized algorithm recently proposed by the authors for modeling particle transport through a random medium is formulated. The accuracy and computational cost of corresponding Monte Carlo algorithms intended to compute gamma radiation transfer through a random medium of Voronoi diagram type are compared. To test the hypothesis that the one-dimensional distribution and the correlation length of the optical density of the medium have a large effect on radiation transfer, additional computations are performed for a random Poisson “field of air balls” in water. The grid approximation is generalized to anisotropic random fields.

Key words: majorant cross section method, stochastic medium, grid approximation, correlative randomized algorithms, correlation length, gamma radiation transfer, computational cost of algorithm.

UDC: 519.642

Received: 28.04.2023
Revised: 28.04.2023
Accepted: 19.10.2023

DOI: 10.31857/S0044466924020118


 English version:
Computational Mathematics and Mathematical Physics, 2024, 64:2, 314–325

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© Steklov Math. Inst. of RAS, 2026